Blocking apoptosis promotes survival and alters developmental dynamics of human retinal ganglion cells in retinal organoids

Kavli Affiliate: Seth Blackshaw | Authors: Jingliang Simon Zhang, Brian Guy, Clayton P Santiago, Caterina Tiozzo, Meghana Sreenath, Ya-Wen Chen, Seth Blackshaw and Robert J Johnston, Jr | Summary: Retinal ganglion cells (RGCs) are the projection neurons that transmit visual information from the retina to the brain. In many species, a substantial proportion of RGCs […]


Continue.. Blocking apoptosis promotes survival and alters developmental dynamics of human retinal ganglion cells in retinal organoids

Search for Distant Hypervelocity Star Candidates Using RR Lyrae Stars

Kavli Affiliate: Huawei Zhang | Summary:Hypervelocity stars (HVSs) are stars with velocities exceeding their local escape velocities. Searching for HVSs and studying their origins can be an important way to study the properties of the Milky Way. In this paper, we utilize precise distances for RR Lyrae stars (RRLs) derived from the period-absolute magnitude-metallicity (PMZ) […]


Continue.. Search for Distant Hypervelocity Star Candidates Using RR Lyrae Stars

AutoPrune: Each Complexity Deserves a Pruning Policy

Kavli Affiliate: Ke Wang | First 5 Authors: Hanshi Wang, Hanshi Wang, , , | Summary: The established redundancy in visual tokens within large vision-language models allows pruning to effectively reduce their substantial computational demands. Previous methods typically employ heuristic layer-specific pruning strategies where, although the number of tokens removed may differ across decoder layers, […]


Continue.. AutoPrune: Each Complexity Deserves a Pruning Policy

Probing Scalar-Mediated Sterile Neutrinos with Gravitational Wave and Colliders Signals

Kavli Affiliate: Jia Liu | First 5 Authors: Qi Bi, Qi Bi, , , | Summary: We propose a UV-complete extension of the Standard Model in which a gauge-singlet scalar $S$ acquires a vacuum expectation value, generates a Majorana mass for a sterile neutrino $N$, and mixes with the Higgs field. This framework addresses neutrino […]


Continue.. Probing Scalar-Mediated Sterile Neutrinos with Gravitational Wave and Colliders Signals

RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiuyuan Chen, Xiuyuan Chen, , , | Summary: Existing safety evaluation methods for large language models (LLMs) suffer from inherent limitations, including evaluator bias and detection failures arising from model homogeneity, which collectively undermine the robustness of risk evaluation processes. This paper seeks to re-examine the risk […]


Continue.. RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration

RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiuyuan Chen, Xiuyuan Chen, , , | Summary: Existing safety evaluation methods for large language models (LLMs) suffer from inherent limitations, including evaluator bias and detection failures arising from model homogeneity, which collectively undermine the robustness of risk evaluation processes. This paper seeks to re-examine the risk […]


Continue.. RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

Kavli Affiliate: Wei Gao| Summary:Pipeline parallelism is widely used to train large language models (LLMs). However, increasing heterogeneity in model architectures exacerbates pipeline bubbles, thereby reducing training efficiency. Prior approaches typically optimize a single phase of the pipeline schedule (i.e., partitioning, placement, or scheduling), leaving substantial pipeline bubbles. While promising, co-optimization poses three key challenges: […]


Continue.. OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

Determination of Aedes mosquito mating success by a rapidly-evolving female-controlled lock-and-key mechanism

Kavli Affiliate: Leslie B. Vosshall | Authors: Leah Houri-Zeevi, Madison M. Walker, Jacopo Razzauti, Anurag Sharma, H. Amalia Pasolli and Leslie B. Vosshall | Summary: Mosquitoes, the world’s deadliest animal, exemplify single-mating systems where females mate only once in their lifetime, making mate choice critically important for reproductive success and mosquito control. Despite this importance, […]


Continue.. Determination of Aedes mosquito mating success by a rapidly-evolving female-controlled lock-and-key mechanism